Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing...

Area of Science:

• Mining engineering
• Geophysics
• Seismology

Background:

• Seismic hazards pose significant risks in mining operations, leading to rock and coal mass failures.
• Current seismic analysis methods are limited by incomplete seismic data, impacting risk assessment accuracy.
• The probability of detecting earthquakes (PDE) method can improve seismic data integrity by identifying missed events.

Purpose of the Study:

• To assess the reliability and robustness of the PDE method for seismic risk evaluation in mines.
• To investigate how seismic data volume and sensor layout affect PDE method performance.
• To link enhanced seismic data with actual hazard potential for improved safety.

Main Methods:

• Investigated the impact of seismic data volume on PDE method reliability.
• Analyzed the effect of sensor layout modifications on PDE method robustness.
• Compensated event counts and seismic energy using the PDE method.
• Correlated compensated seismic data with strong seismic events.

Main Results:

• The PDE method, when applied with sufficient data and optimized sensor layouts, enhances seismic data integrity.
• Compensated seismic data showed improved accuracy in locating future hazardous seismic events.
• The study established a link between enhanced seismic data and actual seismic hazard potential.

Conclusions:

• The PDE method is a valuable tool for improving seismic data completeness and accuracy in mining environments.
• Optimizing data volume and sensor configuration enhances the reliability of seismic risk assessments.
• This research provides a foundation for more effective seismic hazard analysis and risk mitigation in mines.